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First-Year Courses in StatisticsThis page was created at 7:00 PM on Mon, Jan 21, 2002. Winter Academic Term, 2002 (January 7 - April 26)Open courses in Statistics Wolverine Access Subject listing for STATS Winter Academic Term '02 Time Schedule for Statistics. STATS 100. Introduction to Statistical Reasoning.
THERE WILL BE ONE MIDTERM EXAM, ON THURSDAY, FEB.21, 6-8 P.M.Instructor(s):Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Soc. 210, Stats. 250, 350, 402, 405, or 412, or Econ. 404 or 405. (4). (MSA). (BS). (QR/1).
Credits: (4). Course Homepage: http://www.stat.lsa.umich.edu/~bkg/stat100/ Provides an overview of the field of statistics, including methods of summarizing and analyzing data, statistical reasoning for learning from observations (experimental or sample), and techniques for dealing with uncertainties in drawing conclusions from collected data. Emphasis is on presenting underlying concepts rather than covering a variety of different methodologies. Course evaluation is based on a combination of a Thursday evening midterm examination, a final examination, and GSI input. The course format includes lectures and a discussion section (one hour per week).
STATS 125. Games, Gambling and Coincidences.Section 001.Instructor(s): Robert W Keener (keener@umich.edu)Prerequisites & Distribution: Only first-year students, including those with sophomore standing, may pre-register for First-Year Seminars. All others need permission of instructor. (3). (MSA). (QR/1).
Credits: (3). Course Homepage: No homepage submitted. Emphasizes problem solving and modeling related to games, gambling and coincidences, touching on many fundamental ideas in discrete probability, finite Markov chains, dynamic programming, and game theory.
STATS 170. The Art of Scientific Investigation.
Section 001 – Meets with Statistics 408.001.Instructor(s): Edward D Rothman (erothman@umich.edu)Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Statistics 408. (4). (MSA). (BS). (QR/1).
Credits: (4). Course Homepage: No homepage submitted. This course will explore the critical thought processes involved in a scientific investigation. Concepts covered will include: the role of empiricism, modeling, the nature of variability, the design of scientific experiments (advantages and disadvantages), the role of randomization, the measurement process, possible biases, the use of controls, and the evaluation of final results. Examples from the history of science will be used to illustrate successes and failures in science and various ethical issues will be considered. The course format includes three lectures and a laboratory (1.5 hours per week). TEXTBOOKS: The Fifth Discipline, Peter M. Senge, Doubleday Currency, and The New Economics for Industry Government Education, W. Edwards Deming, 2nd Edition, MIT.
STATS 350(250/402). Introduction to Statistics and Data Analysis.
Instructor(s): Brenda K Gunderson (bkg@umich.edu)Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stats. 250, 265, 311, 400, 402, 405, or 412. (4). (NS). (BS). (QR/1).
Credits: (4). Course Homepage: http://www.stat.lsa.umich.edu/~bkg/stat350/ STATS 350 ia a one-term course in applied statistical methodology from an analysis-of-data viewpoint. Topics covered include: frequency distributions; measures of location; mean, median, mode; measures of dispersion; variance; graphic presentation; elementary probability; populations and samples; sampling distributions; one sample univariate inference problems, and two sample problems; categorical data; regression and correlation; and analysis of variance. Expect the use of computers in data analysis, as well as three hours of lecture and a one and one-half hour laboratory session each week. The laboratory section deals with the computational aspects of the course and provides a forum for review of lecture material. For this purpose, students are introduced to the use of a statistical analysis-computer package. Course evaluation is based on a combination of two midterm examinations, a final examination, weekly homework, and lab participation. Homework: There will be weekly homework assignments and weekly computer lab work. Problems assigned (and their corresponding solutions) will be posted and available on the web for printing. Scientific Notebook Viewer is needed for viewing and printing solutions. Download instructions are available on the course homepage (under Latest News). There are two midterm exams and a final exam. Grading Policy: Performance on exams will account for 90% of your final grade and homework/lab attendance and participation will account for 10%. Textbook: (required)
Introduction to the Practice of Statistics
Computer Modules: (required) Statistics 350 Workbook, Winter 2002. Lecture Notes:
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